Individual differences in effects of stressful life events on childhood <scp>ADHD</scp> : genetic, neural, and familial contributions
These findings underscore the importance of integrating environmental, genetic, and neural variables to identify children vulnerable or resilient to developing ADHD symptoms following early-life stress. This study demonstrates how multimodal data combined with nonparametric machine learning can advance precision psychology and psychiatry, aiding targeted support for affected children.
Authors
- Gakyung Kim (ORCID: https://orcid.org/0000-0002-3729-081X)
- Yoonjung Yoonie Joo (ORCID: https://orcid.org/0000-0001-9506-8742)
- Jiook Cha (ORCID: https://orcid.org/0000-0002-5314-7992)
- Bo‐Gyeom Kim (ORCID: https://orcid.org/0000-0003-2685-877X)
- Junghoon Park (ORCID: https://orcid.org/0000-0001-8982-0387)
- Jinwoo Lee (ORCID: https://orcid.org/0009-0005-3811-0015)
- Seung Yun Choi (ORCID: https://orcid.org/0000-0002-9199-8691)
- Eun-Ji Lee
Institutions
- Seoul National University (KR)
- University of San Diego (US)
- Samsung Medical Center (KR)
- New Generation University College (ET)
- University of California San Diego (US)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Journal of Child Psychology and Psychiatry
- Published
- 2025-11-08
- DOI
- https://doi.org/10.1111/jcpp.70074
- Citations
- 1
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 1.47